Tomoki P. Terada

1.3k citations
49 papers · 843 · h-index 15

Impact in

Papers in

Tomoki P. Terada

47 papers receiving 831 citations

Peers

Tomoki P. Terada
Comparison fields: 5 of 77
  • Nuclear and High Energy Physics 188
  • Endocrine and Autonomic Systems 44
  • Molecular Biology 443
  • Atomic and Molecular Physics, and Optics 134
  • Cell Biology 58
Replace Michael W. Clarkson with:
Michael W. Clarkson United States
Tatsuhito Matsuo Japan
Matthew T. Eddy United States
Abhishek Cukkemane Netherlands
Michael R. Morrow Canada
Jason E. Ollerenshaw Canada
O. Schedletzky Germany
J. R. Quine United States
S. König Germany
Tetsuya Masuda Japan
Tomoki P. Terada relative to Michael W. Clarkson United States Michael W. Clarkson's profile →
Citations per field
00.5×4.7×
Michael W. Clarkson · 1×
Citations per year

Countries citing papers authored by Tomoki P. Terada

Since Specialization
Citations

This map shows the geographic impact of Tomoki P. Terada's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tomoki P. Terada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoki P. Terada more than expected).

Fields of papers citing papers by Tomoki P. Terada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomoki P. Terada. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tomoki P. Terada. The network helps show where Tomoki P. Terada may publish in the future.

Co-authors

The 25 scholars most cited alongside Tomoki P. Terada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tomoki P. Terada Line = papers co-authored together Tomoki P. Terada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997112
2 199985
3 199874
4 201265
5 201045
6 200143
7 201342
8 200738
9 200038
10 201431
11 199925
12 200224
13 201023
14 200821
15 199717
16 200512
17 201311
18 198411
19 198510
20 19949

About Tomoki P. Terada

Tomoki P. Terada is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Atomic and Molecular Physics, and Optics, Materials Chemistry and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 843 indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (11 papers), Protein Structure and Dynamics (10 papers), Advancements in Semiconductor Devices and Circuit Design (8 papers), Enzyme Structure and Function (7 papers), Analog and Mixed-Signal Circuit Design (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Cardiomyopathy and Myosin Studies (5 papers) and Force Microscopy Techniques and Applications (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (188 citations), Endocrine and Autonomic Systems (44 citations), Molecular Biology (443 citations), Atomic and Molecular Physics, and Optics (134 citations) and Cell Biology (58 citations). Tomoki P. Terada has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Masaki Sasai, Kunihiro Kuwajima, R. Hayano, Mitsunori Takano, Tapan K. Chaudhuri, Teikichi Ikura, Munehito Arai, Å. Olin, M. Iwasaki and Tetsuya Yomo. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Proceedings of the National Academy of Sciences, Biophysical Journal, The Journal of Physical Chemistry B and PLoS Computational Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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